Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017

This dataset provides the hourly output of the firn model developed for Vandecrux et al. (2020, https://doi.org/10.1017/jog.2020.30). In that study, we filtered and gap-filled weather data from nine Greenland Climate Network (GC-Net) stations: Crawford Point 1 (CP1), Dye-2, NASA-SE, NASA-E, Saddle,...

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Main Author: Vandecrux, Baptiste
Format: Dataset
Language:English
Published: NSF Arctic Data Center 2020
Subjects:
Online Access:https://dx.doi.org/10.18739/a2cv4bs43
https://arcticdata.io/catalog/view/doi:10.18739/A2CV4BS43
id ftdatacite:10.18739/a2cv4bs43
record_format openpolar
spelling ftdatacite:10.18739/a2cv4bs43 2023-05-15T16:29:00+02:00 Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017 Vandecrux, Baptiste 2020 text/xml https://dx.doi.org/10.18739/a2cv4bs43 https://arcticdata.io/catalog/view/doi:10.18739/A2CV4BS43 en eng NSF Arctic Data Center Firn compaction snow model firn density firn temperature firn water content dataset Dataset 2020 ftdatacite https://doi.org/10.18739/a2cv4bs43 2021-11-05T12:55:41Z This dataset provides the hourly output of the firn model developed for Vandecrux et al. (2020, https://doi.org/10.1017/jog.2020.30). In that study, we filtered and gap-filled weather data from nine Greenland Climate Network (GC-Net) stations: Crawford Point 1 (CP1), Dye-2, NASA-SE, NASA-E, Saddle, South Dome, NASA-U, Summit and Tunu-N. We used these data to calculate the surface energy and mass balance which is used to force the firn model. The firn model is decribed in Vandecrux et al. (2018, https://doi.org/10.1029/2017JF004597, 2020, https://doi.org/10.1017/jog.2020.30) and its code is available at https://github.com/BaptisteVandecrux/SEB_Firn_model. The firn model has 200 layers. each composed of snow, ice and water compartments. Layers are managed in a Lagrangian framework with a splitting/merging strategy that keeps the resolution higher close to the surface. During snowfall, fresh snow is added as a new 4 centimeter (cm) w.e. thick layer with a density of 315 kilogram per cubic meter (kg m-3) to the top of the model. During melt, mass is taken from snow and ice compartments of the top layer and transferred to the water compartment. Downward flow follows Darcy's law as described by Langen et al. (2017, doi: 10.3389/feart.2016.00110) and Vandecrux et al. (2018, https://doi.org/10.1029/2017JF004597, 2020, https://doi.org/10.1017/jog.2020.30) . When the underlying layer is below freezing point, the water is refrozen, moved to the ice compartment of that layer until either the layer reaches melting point or the layer's bulk density reaches ice density. In the rare cases when it occurred, ponding of water over a layer of reduced permeability was allowed. No lateral runoff was allowed. The firn density is updated every time step for compaction as calculated from the overburden pressure (Vionnet et al., 2012, https://doi.org/10.5194/gmd-5-773-2012). Dataset Greenland Tunu DataCite Metadata Store (German National Library of Science and Technology) Crawford ENVELOPE(-86.467,-86.467,-77.717,-77.717) Crawford Point ENVELOPE(-97.562,-97.562,57.876,57.876) Greenland Langen ENVELOPE(11.650,11.650,-70.750,-70.750)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Firn compaction
snow model
firn density
firn temperature
firn water content
spellingShingle Firn compaction
snow model
firn density
firn temperature
firn water content
Vandecrux, Baptiste
Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017
topic_facet Firn compaction
snow model
firn density
firn temperature
firn water content
description This dataset provides the hourly output of the firn model developed for Vandecrux et al. (2020, https://doi.org/10.1017/jog.2020.30). In that study, we filtered and gap-filled weather data from nine Greenland Climate Network (GC-Net) stations: Crawford Point 1 (CP1), Dye-2, NASA-SE, NASA-E, Saddle, South Dome, NASA-U, Summit and Tunu-N. We used these data to calculate the surface energy and mass balance which is used to force the firn model. The firn model is decribed in Vandecrux et al. (2018, https://doi.org/10.1029/2017JF004597, 2020, https://doi.org/10.1017/jog.2020.30) and its code is available at https://github.com/BaptisteVandecrux/SEB_Firn_model. The firn model has 200 layers. each composed of snow, ice and water compartments. Layers are managed in a Lagrangian framework with a splitting/merging strategy that keeps the resolution higher close to the surface. During snowfall, fresh snow is added as a new 4 centimeter (cm) w.e. thick layer with a density of 315 kilogram per cubic meter (kg m-3) to the top of the model. During melt, mass is taken from snow and ice compartments of the top layer and transferred to the water compartment. Downward flow follows Darcy's law as described by Langen et al. (2017, doi: 10.3389/feart.2016.00110) and Vandecrux et al. (2018, https://doi.org/10.1029/2017JF004597, 2020, https://doi.org/10.1017/jog.2020.30) . When the underlying layer is below freezing point, the water is refrozen, moved to the ice compartment of that layer until either the layer reaches melting point or the layer's bulk density reaches ice density. In the rare cases when it occurred, ponding of water over a layer of reduced permeability was allowed. No lateral runoff was allowed. The firn density is updated every time step for compaction as calculated from the overburden pressure (Vionnet et al., 2012, https://doi.org/10.5194/gmd-5-773-2012).
format Dataset
author Vandecrux, Baptiste
author_facet Vandecrux, Baptiste
author_sort Vandecrux, Baptiste
title Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017
title_short Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017
title_full Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017
title_fullStr Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017
title_full_unstemmed Simulated firn density, temperature, liquid water content, compaction rates and cold content at nine Greenland Climate Network (GC-Net) weather stations sites during 1998-2017
title_sort simulated firn density, temperature, liquid water content, compaction rates and cold content at nine greenland climate network (gc-net) weather stations sites during 1998-2017
publisher NSF Arctic Data Center
publishDate 2020
url https://dx.doi.org/10.18739/a2cv4bs43
https://arcticdata.io/catalog/view/doi:10.18739/A2CV4BS43
long_lat ENVELOPE(-86.467,-86.467,-77.717,-77.717)
ENVELOPE(-97.562,-97.562,57.876,57.876)
ENVELOPE(11.650,11.650,-70.750,-70.750)
geographic Crawford
Crawford Point
Greenland
Langen
geographic_facet Crawford
Crawford Point
Greenland
Langen
genre Greenland
Tunu
genre_facet Greenland
Tunu
op_doi https://doi.org/10.18739/a2cv4bs43
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